Triple
T8270551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tara |
E193416
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Tahara
Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
|
E722830
|
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: Tahara | Statement: [Tara, hasVariant, Tahara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tahara Context triple: [Tara, hasVariant, Tahara]
-
A.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
-
B.
Subashi ruins
The Subashi ruins are the remains of an ancient Buddhist temple complex near Kucha in Xinjiang, China, notable for its role on the Silk Road and its well-preserved Buddhist art and architecture.
-
C.
Kulun
Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
-
D.
Seibal
Seibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and strategic location along the Usumacinta River.
-
E.
Trowulan
Trowulan is an archaeological site in East Java, Indonesia, believed to be the former royal city and cultural center of the Majapahit Empire.
- 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: Tahara Triple: [Tara, hasVariant, Tahara]
Generated description
Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tahara Target entity description: Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
-
A.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
-
B.
Subashi ruins
The Subashi ruins are the remains of an ancient Buddhist temple complex near Kucha in Xinjiang, China, notable for its role on the Silk Road and its well-preserved Buddhist art and architecture.
-
C.
Kulun
Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
-
D.
Seibal
Seibal is an ancient Maya archaeological site in Guatemala known for its well-preserved stelae and strategic location along the Usumacinta River.
-
E.
Trowulan
Trowulan is an archaeological site in East Java, Indonesia, believed to be the former royal city and cultural center of the Majapahit Empire.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb795243fc8190a66afef7476e1147 |
completed | March 31, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd683d04e081908b0ce81e866f0311 |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6c21172481908dc04b85ee4370a8 |
completed | April 1, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7df568788190a5a219baa65a6a19 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.