Triple
T9743809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chetpet campus |
E236256
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Chetpet
Chetpet is a neighborhood in Chennai, India, known for its residential areas, educational institutions, and the prominent Chetpet Lake.
|
E817784
|
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: Chetpet | Statement: [Chetpet campus, locatedIn, Chetpet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chetpet Context triple: [Chetpet campus, locatedIn, Chetpet]
-
A.
Chatti
The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
-
B.
Chien
Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
-
C.
Gotay
Gotay is a reggaeton artist and music producer known for his work in the Latin urban music scene.
-
D.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
E.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
- 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: Chetpet Triple: [Chetpet campus, locatedIn, Chetpet]
Generated description
Chetpet is a neighborhood in Chennai, India, known for its residential areas, educational institutions, and the prominent Chetpet Lake.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chetpet Target entity description: Chetpet is a neighborhood in Chennai, India, known for its residential areas, educational institutions, and the prominent Chetpet Lake.
-
A.
Chatti
The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
-
B.
Chien
Chien is a Chinese surname shared by various notable individuals across fields such as science, politics, and the arts.
-
C.
Gotay
Gotay is a reggaeton artist and music producer known for his work in the Latin urban music scene.
-
D.
Shep
Shep is the station code used to identify Sheppard–Yonge station in the Toronto subway system.
-
E.
Shep
Shep is a central, brooding former basketball star in the 1994 sports drama film "Above the Rim," known for his troubled past and mentorship of the young protagonist.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2e5bb081908047e3bf5fe3991c |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1affb761881908dde9a4f028c32f6 |
completed | April 5, 2026, 12:42 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, 8:23 p.m.