Triple
T14969807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argao |
E373285
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Usmad
Usmad is a rural barangay (village-level administrative division) in the municipality of Argao in Cebu, Philippines.
|
E1129972
|
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: Usmad | Statement: [Argao, hasBarangay, Usmad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Usmad Context triple: [Argao, hasBarangay, Usmad]
-
A.
Umay
Umay is a fertility and protector goddess in Turkic and Mongolic mythology, often associated with motherhood, children, and the nurturing aspects of nature.
-
B.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
C.
Umara
Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
-
D.
Uzein
Uzein is a commune in southwestern France, notable for hosting the Pau Pyrénées Airport near the city of Pau.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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: Usmad Triple: [Argao, hasBarangay, Usmad]
Generated description
Usmad is a rural barangay (village-level administrative division) in the municipality of Argao in Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Usmad Target entity description: Usmad is a rural barangay (village-level administrative division) in the municipality of Argao in Cebu, Philippines.
-
A.
Umay
Umay is a fertility and protector goddess in Turkic and Mongolic mythology, often associated with motherhood, children, and the nurturing aspects of nature.
-
B.
Omaar
Omaar is an alternative spelling of the given name Omar, commonly used in various cultures.
-
C.
Umara
Umara is the plural form of the Arabic name or title "Amir," commonly used to refer to multiple rulers or princes.
-
D.
Uzein
Uzein is a commune in southwestern France, notable for hosting the Pau Pyrénées Airport near the city of Pau.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be6ce68819099f841d83c6ca33d |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8e512adc8190a1cf47f1713a968f |
completed | May 9, 2026, 1:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8ec3d718819098629558bc007496 |
completed | May 9, 2026, 1:32 a.m. |
Created at: April 10, 2026, 2:49 a.m.