Triple
T9737840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qataban |
E236108
|
entity |
| Predicate | majorDeity |
P7648
|
FINISHED |
| Object |
Amm
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
|
E817742
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Amm | Statement: [Qataban, majorDeity, Amm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amm Context triple: [Qataban, majorDeity, Amm]
-
A.
AAM
AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
-
B.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
-
C.
AMM
AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
-
D.
Aramm
Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
-
E.
AMO
AMO is the research and think-tank arm associated with Rem Koolhaas’s architecture firm OMA, focusing on interdisciplinary projects in architecture, culture, and politics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Amm Triple: [Qataban, majorDeity, Amm]
Generated description
Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amm Target entity description: Amm is an ancient South Arabian god, particularly revered in the Qataban kingdom as a principal deity associated with protection and tribal identity.
-
A.
AAM
AAM is a United States Army decoration awarded to soldiers for outstanding achievement or meritorious service that does not meet the criteria for higher-level medals.
-
B.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
-
C.
AMM
AMM is the IATA airport code for Queen Alia International Airport, the main international gateway serving Amman, Jordan.
-
D.
Aramm
Aramm is a 2017 Tamil social drama film starring Nayanthara as a dedicated district collector tackling a village water crisis and systemic negligence.
-
E.
AMO
AMO is the research and think-tank arm associated with Rem Koolhaas’s architecture firm OMA, focusing on interdisciplinary projects in architecture, culture, and politics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef2ba048190811d6f4251fdb270 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afd74a308190ae1a618bab5f7841 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b0f7a68481909de080dd78f883a8 |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b17bd97c8190b77815db5a6a70d9 |
completed | April 5, 2026, 12:49 a.m. |
Created at: March 30, 2026, 8:22 p.m.