Triple
T3919085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WATSON |
E88914
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Mars |
E20154
|
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: Mars | Statement: [WATSON, locatedOn, Mars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mars Context triple: [WATSON, locatedOn, Mars]
-
A.
Mars
Mars is a science fiction television series produced by Imagine Television that blends scripted drama with documentary-style elements to depict humanity’s efforts to colonize the Red Planet.
-
B.
Mars
chosen
Mars is the fourth planet from the Sun, a cold, desert-like world often called the "Red Planet" due to its iron-rich surface and a prime target in the search for past or present extraterrestrial life.
-
C.
Mars
Mars is the Roman god of war, a central deity in Roman religion associated with military power, agriculture, and the fatherhood of Rome’s legendary founders.
-
D.
Terra
Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
-
E.
Planá
Planá is a town in the Plzeň Region of the Czech Republic that serves as a local administrative and service center for surrounding municipalities.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed59485c819095c58edd053e3401 |
completed | March 9, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55614ffa48190b15a1c2ec20638f2 |
completed | March 14, 2026, 12:35 p.m. |
Created at: March 9, 2026, 3:22 p.m.