Triple
T18836322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | India Post |
E460672
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Speed Post |
E1345519
|
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: Speed Post | Statement: [India Post, hasBrand, Speed Post]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speed Post Context triple: [India Post, hasBrand, Speed Post]
-
A.
speed post
chosen
Speed Post is India Post’s premium express mail service that provides fast, time-bound delivery of letters and parcels across domestic and international destinations.
-
B.
Speedy
Speedy is a 1928 silent comedy film starring Harold Lloyd, known for its energetic New York City setting and memorable Coney Island and baseball sequences.
-
C.
Speedy
Speedy is the bow-wielding teenage superhero and sidekick of Green Arrow who serves as the archery expert on the Teen Titans.
-
D.
Xpress
Xpress is a regional public transit service in Georgia that provides commuter bus connections between suburban areas and major employment centers.
-
E.
Pégase Express
Pégase Express is a family-friendly, themed roller coaster at Parc Astérix in France that combines forward and backward sections with immersive storytelling.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575ade5988190aa12b36e5ae45fc0 |
completed | May 14, 2026, 7:11 a.m. |
Created at: April 10, 2026, 11:56 a.m.