Triple
T4959273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Souss-Massa |
E111363
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Tata |
E102226
|
NE FINISHED |
How this triple was built (2 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: Tata | Statement: [Souss-Massa, containsCity, Tata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tata Context triple: [Souss-Massa, containsCity, Tata]
-
A.
Tata
chosen
Tata is a small town and oasis in southern Morocco, known as a gateway to the Anti-Atlas mountains and the surrounding desert landscapes.
-
B.
Tata Motors
Tata Motors is a major Indian multinational automotive manufacturer known for producing a wide range of passenger and commercial vehicles and for owning the luxury car brand Jaguar Land Rover.
-
C.
Usha
Usha is a goddess in Hindu mythology, often associated with the dawn and revered as a radiant divine figure.
-
D.
Naval Tata
Naval Tata was an Indian industrialist and philanthropist who played a key role in the Tata Group’s growth and was the adoptive father of former Tata Sons chairman Ratan Tata.
-
E.
Tata family
The Tata family is a prominent Indian Parsi industrial and philanthropic dynasty that founded and leads the Tata Group, one of India’s largest and most influential business conglomerates.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d957cc8190b82fdd1ca61924bf |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e4ccc4819090223633fdb04eee |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:32 p.m.